Xweather Renewable MCP Server for LangChain 12 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Xweather Renewable through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"xweather-renewable": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Xweather Renewable, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Xweather Renewable MCP Server
Connect to Vaisala Xweather API and bring professional-grade weather intelligence to any AI agent. Access current conditions, 15-day forecasts, solar irradiance data, wind measurements, and renewable energy farm power output data for site assessment and operational optimization.
LangChain's ecosystem of 500+ components combines seamlessly with Xweather Renewable through native MCP adapters. Connect 12 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
What you can do
- Current Conditions — Get real-time temperature, humidity, wind, pressure, and solar radiation for any global location
- Weather Forecasts — Access up to 15-day detailed forecasts with day/night periods for planning renewable energy operations
- Solar Irradiance — Retrieve historical solar irradiance measurements (GHI, DNI, DHI) for PV site assessment
- Wind Data — Get detailed wind speed, direction, and gust measurements for wind farm evaluation
- Energy Farm Output — Access estimated and forecasted power output for wind and solar energy sites in US/Canada
- Historical Observations — Query archived weather data for model validation and trend analysis
- Location Search — Find weather stations and places by name or coordinates
- Weather Alerts — Monitor severe weather warnings to protect renewable energy assets
- Extended Forecasts — Get 15-day outlooks for long-term maintenance and production planning
The Xweather Renewable MCP Server exposes 12 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Xweather Renewable to LangChain via MCP
Follow these steps to integrate the Xweather Renewable MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 12 tools from Xweather Renewable via MCP
Why Use LangChain with the Xweather Renewable MCP Server
LangChain provides unique advantages when paired with Xweather Renewable through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Xweather Renewable MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Xweather Renewable queries for multi-turn workflows
Xweather Renewable + LangChain Use Cases
Practical scenarios where LangChain combined with the Xweather Renewable MCP Server delivers measurable value.
RAG with live data: combine Xweather Renewable tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Xweather Renewable, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Xweather Renewable tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Xweather Renewable tool call, measure latency, and optimize your agent's performance
Xweather Renewable MCP Tools for LangChain (12)
These 12 tools become available when you connect Xweather Renewable to LangChain via MCP:
get_closest_weather_station
Returns station details and current conditions. Find the closest weather station to geographic coordinates
get_current_conditions
Use city name, coordinates (lat,lon), or station ID. Get current weather conditions for a location
get_extended_forecast
Useful for long-term renewable energy production planning and maintenance scheduling. Get extended 15-day weather forecast with day/night periods
get_historical_observations
Essential for validating renewable energy production models against historical weather patterns. Get historical weather observations for a location
get_renewable_energy_farm_data
Includes hourly energy generation forecasts up to 10 days ahead and recent 5-minute interval production estimates. Essential for energy trading, operational optimization, and regulatory compliance. Get renewable energy farm power output and production data
get_solar_irradiance_data
Critical for solar PV site assessment and energy yield validation. Get historical solar irradiance data for renewable energy assessment
get_weather_alerts
Critical for renewable energy asset protection during severe weather events. Get weather alerts and advisories for a location
get_weather_forecast
Essential for renewable energy production planning. Get weather forecast for a location (up to 15 days)
get_weather_observations
Shows actual observed data from weather stations. Get recent weather observations for a location
get_weather_summary
Quick overview for general weather awareness. Get a weather conditions summary for a location
get_wind_data
Essential for wind farm site assessment, turbine performance analysis, and wind energy production forecasting. Get wind speed and direction data for renewable energy assessment
search_locations
Returns place details including coordinates, elevation, and station metadata needed for other API queries. Search for places by name or query
Example Prompts for Xweather Renewable in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Xweather Renewable immediately.
"What is the current weather and wind speed in Chicago?"
"Show me the 7-day weather forecast for a solar farm site at 35.0, -106.0."
"Get the solar irradiance data for my PV site at 34.05, -118.24 for last month."
Troubleshooting Xweather Renewable MCP Server with LangChain
Common issues when connecting Xweather Renewable to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersXweather Renewable + LangChain FAQ
Common questions about integrating Xweather Renewable MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect Xweather Renewable with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Xweather Renewable to LangChain
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.